Dynamic Vision From Images To Face Recognition

Author : Shaogang Gong,Stephen J Mckenna,Alexandra Psarrou
Publisher : World Scientific
Page : 364 pages
File Size : 40,8 Mb
Release : 2000-05-11
Category : Computers
ISBN : 9781911298915

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Dynamic Vision: From Images To Face Recognition by Shaogang Gong,Stephen J Mckenna,Alexandra Psarrou Pdf

Face recognition is a task that the human vision system seems to perform almost effortlessly, yet the goal of building computer-based systems with comparable capabilities has proven to be difficult. The task implicitly requires the ability to locate and track faces through often complex and dynamic scenes. Recognition is difficult because of variations in factors such as lighting conditions, viewpoint, body movement and facial expression. Although evidence from psychophysical and neurobiological experiments provides intriguing insights into how we might code and recognise faces, its bearings on computational and engineering solutions are far from clear. The study of face recognition has had an almost unique impact on computer vision and machine learning research at large. It raises many challenging issues and provides a good vehicle for examining some difficult problems in vision and learning. Many of the issues raised are relevant to object recognition in general.This book describes the latest models and algorithms that are capable of performing face recognition in a dynamic setting. The key question is how to design computer vision and machine learning algorithms that can operate robustly and quickly under poorly controlled and changing conditions. Consideration of face recognition as a problem in dynamic vision is perhaps both novel and important. The algorithms described have numerous potential applications in areas such as visual surveillance, verification, access control, video-conferencing, multimedia and visually mediated interaction.The book will be of special interest to researchers and academics involved in machine vision, visual recognition and machine learning. It should also be of interest to industrial research scientists and managers keen to exploit this emerging technology and develop automated face and human recognition systems. It is also useful to postgraduate students studying computer science, electronic engineering, information or systems engineering, and cognitive psychology.

Author : Peter Corcoran
Publisher : BoD – Books on Demand
Page : 342 pages
File Size : 55,7 Mb
Release : 2011-07-27
Category : Computers
ISBN : 9789533073682

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Reviews, Refinements and New Ideas in Face Recognition by Peter Corcoran Pdf

As a baby one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section on Statistical Face Models and Classifiers presents reviews and refinements of some well-known statistical models. The next section presents two articles exploring the use of Infrared imaging techniques and is followed by few articles devoted to refinements of classical methods. New approaches to improve the robustness of face analysis techniques are followed by two articles dealing with real-time challenges in video sequences. A final article explores human perceptual issues of face recognition.

Author : Tomas Pajdla,Jiri Matas
Publisher : Springer
Page : 640 pages
File Size : 49,8 Mb
Release : 2004-05-10
Category : Computers
ISBN : 9783540246701

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Computer Vision - ECCV 2004 by Tomas Pajdla,Jiri Matas Pdf

Welcome to the proceedings of the 8th European Conference on Computer - sion! Following a very successful ECCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations were introduced into the review process. First, the n- ber of program committee members was increased to reduce their review load. We managed to assign to program committee members no more than 12 papers. Second, we adopted a paper ranking system. Program committee members were asked to rank all the papers assigned to them, even those that were reviewed by additional reviewers. Third, we allowed authors to respond to the reviews consolidated in a discussion involving the area chair and the reviewers. Fourth, thereports,thereviews,andtheresponsesweremadeavailabletotheauthorsas well as to the program committee members. Our aim was to provide the authors with maximal feedback and to let the program committee members know how authors reacted to their reviews and how their reviews were or were not re?ected in the ?nal decision. Finally, we reduced the length of reviewed papers from 15 to 12 pages. ThepreparationofECCV2004wentsmoothlythankstothee?ortsofthe- ganizing committee, the area chairs, the program committee, and the reviewers. We are indebted to Anders Heyden, Mads Nielsen, and Henrik J. Nielsen for passing on ECCV traditions and to Dominique Asselineau from ENST/TSI who kindly provided his GestRFIA conference software. We thank Jan-Olof Eklundh and Andrew Zisserman for encouraging us to organize ECCV 2004 in Prague.

Author : Dimitris K. Iakovidis
Publisher : MDPI
Page : 312 pages
File Size : 44,9 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9783039434183

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Sensors, Signal and Image Processing in Biomedicine and Assisted Living by Dimitris K. Iakovidis Pdf

This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.

Author : Rene Vidal
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 54,6 Mb
Release : 2007-02
Category : Computers
ISBN : 9783540709312

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Dynamical Vision by Rene Vidal Pdf

This book constitutes the thoroughly refereed joint post-proceedings of the first two International Workshops on Dynamical Vision, WDV 2005 and WDV 2006 held in Beijing, China in October 2005 within the scope of ICCV 2005 and in Graz, Austria in May 2006 in the course of ECCV 2006. The 24 revised full papers address a wide range of theoretical and application issues in dynamical vision.

Author : Nicolai Petkov
Publisher : Springer Science & Business Media
Page : 797 pages
File Size : 50,8 Mb
Release : 2003-08-14
Category : Computers
ISBN : 9783540407300

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Computer Analysis of Images and Patterns by Nicolai Petkov Pdf

This book constitutes the refereed proceedings of the 10th International Conference on Computer Analysis of Images and Patterns, CAIP 2003, held in Groningen, The Netherlands in August 2003. The 94 revised papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on analysis and understanding, video analysis, segmentation, shape, classification, face recognition, interpolation and spatial transformations, and filtering.

Author : E. R. Davies
Publisher : Academic Press
Page : 900 pages
File Size : 45,8 Mb
Release : 2017-11-15
Category : Computers
ISBN : 9780128095751

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Computer Vision by E. R. Davies Pdf

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject. See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/ Three new chapters on Machine Learning emphasise the way the subject has been developing; Two chapters cover Basic Classification Concepts and Probabilistic Models; and the The third covers the principles of Deep Learning Networks and shows their impact on computer vision, reflected in a new chapter Face Detection and Recognition. A new chapter on Object Segmentation and Shape Models reflects the methodology of machine learning and gives practical demonstrations of its application. In-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics. Examples and applications—including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians—give the ‘ins and outs’ of developing real-world vision systems, showing the realities of practical implementation. Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples. The ‘recent developments’ sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject. Tailored programming examples—code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)

Author : J. Salvador Sánchez
Publisher : Universitat Jaume I
Page : 358 pages
File Size : 41,9 Mb
Release : 2001
Category : Electronic
ISBN : 8480213515

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Pattern Recognition and Image Analysis by J. Salvador Sánchez Pdf

Author : George Bebis,Richard Boyle,Bahram Parvin,Darko Koracin,Song Wang,Kim Kyungnam,Bedrich Benes,Kenneth Moreland,Christoph Borst,Stephen DiVerdi,Chiang Yi-Jen,Jiang Ming
Publisher : Springer
Page : 739 pages
File Size : 42,5 Mb
Release : 2011-09-24
Category : Computers
ISBN : 9783642240317

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Advances in Visual Computing by George Bebis,Richard Boyle,Bahram Parvin,Darko Koracin,Song Wang,Kim Kyungnam,Bedrich Benes,Kenneth Moreland,Christoph Borst,Stephen DiVerdi,Chiang Yi-Jen,Jiang Ming Pdf

The two volume set LNCS 6938 and LNCS 6939 constitutes the refereed proceedings of the 7th International Symposium on Visual Computing, ISVC 2011, held in Las Vegas, NV, USA, in September 2011. The 68 revised full papers and 46 poster papers presented together with 30 papers in the special tracks were carefully reviewed and selected from more than 240 submissions. The papers of part I (LNCS 6938) are organized in computational bioimaging, computer graphics, motion and tracking, segmentation, visualization; mapping modeling and surface reconstruction, biomedical imaging, computer graphics, interactive visualization in novel and heterogeneous display environments, object detection and recognition. Part II (LNCS 6939) comprises topics such as immersive visualization, applications, object detection and recognition, virtual reality, and best practices in teaching visual computing.

Author : Asit Kumar Datta,Madhura Datta,Pradipta Kumar Banerjee
Publisher : CRC Press
Page : 353 pages
File Size : 55,5 Mb
Release : 2015-10-28
Category : Computers
ISBN : 9781482226577

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Face Detection and Recognition by Asit Kumar Datta,Madhura Datta,Pradipta Kumar Banerjee Pdf

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face de

Author : E. R. Davies
Publisher : Academic Press
Page : 912 pages
File Size : 45,5 Mb
Release : 2012-04-18
Category : Technology & Engineering
ISBN : 9780123869913

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Computer and Machine Vision by E. R. Davies Pdf

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: Practical examples and case studies give the ‘ins and outs’ of developing real-world vision systems, giving engineers the realities of implementing the principles in practice New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging The ‘recent developments’ section now included in each chapter will be useful in bringing students and practitioners up to date with the subject Mathematics and essential theory are made approachable by careful explanations and well-illustrated examples Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging The ‘recent developments’ section now included in each chapter will be useful in bringing students and practitioners up to date with the subject

Author : Sagarmay Deb
Publisher : IGI Global
Page : 392 pages
File Size : 41,7 Mb
Release : 2005-01-01
Category : Computers
ISBN : 9781591405474

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Video Data Management and Information Retrieval by Sagarmay Deb Pdf

This book combines the two important areas of research within computer technology and presents them in comprehensive, easy to understand manner. Ideal for graduates and under-graduates, as well as researchers working in either video data management or information retrieval, it takes an in depth look at many relevant topics within both video data management and information retrieval. In addition to dissecting those issues, it also provides a "big picture" view of each topic.

Author : E. R. Davies
Publisher : Elsevier
Page : 934 pages
File Size : 47,5 Mb
Release : 2004-12-22
Category : Technology & Engineering
ISBN : 9780080473246

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Machine Vision by E. R. Davies Pdf

In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need. As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems. · Includes solid, accessible coverage of 2-D and 3-D scene analysis. · Offers thorough treatment of the Hough Transform—a key technique for inspection and surveillance. · Brings vital topics and techniques together in an integrated system design approach. · Takes full account of the requirement for real-time processing in real applications.

Author : Shaohua Kevin Zhou,Rama Chellappa,Wenyi Zhao
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 50,7 Mb
Release : 2006-10-11
Category : Computers
ISBN : 9780387294865

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Unconstrained Face Recognition by Shaohua Kevin Zhou,Rama Chellappa,Wenyi Zhao Pdf

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.

Author : Garcia-Rodriguez, Jose
Publisher : IGI Global
Page : 535 pages
File Size : 48,9 Mb
Release : 2012-12-31
Category : Technology & Engineering
ISBN : 9781466627031

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Robotic Vision: Technologies for Machine Learning and Vision Applications by Garcia-Rodriguez, Jose Pdf

Robotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation. As these computer vision and robotic connections continue to develop, the benefits of vision technology including savings, improved quality, reliability, safety, and productivity are revealed. Robotic Vision: Technologies for Machine Learning and Vision Applications is a comprehensive collection which highlights a solid framework for understanding existing work and planning future research. This book includes current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world.